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Automatic Identification of Oceanic Eddies in Infrared Satellite Images
November 2011
FeNaBo11
Oceanic eddies have a large impact on climate and human activities, consequently, it is worthwhile to characterise them. One of their main features is size; however, it is a difficult task to obtain user-independent estimates of this feature from brightness temperature maps for eddies near the Iberian Peninsula. The reason is that the current methods in the scientific literature are unable to handle the variability in the shape and size of these eddies as well as the weak temperature gradients associated with them, especially those found off Iberia or those methods employ user-defined values that influence the estimate of the eddies’ size. Our new method solves these problems by using orientation fields and clustering methods. Its outcome is an ellipse that characterises the size of the eddies with good precision.
Journal
Armando Fernandes, Susana Nascimento, D. Boutov
Computers & Geosciences
Elsevier
-
37
11
1783-1792
-
-
doi:10.1016/j.cageo.2010.12.007
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V7D-5236RBH-2&_user=10&_coverDate=02%2F02%2F2011&_rdoc=1&_fmt=high&_orig=gateway&_origin=gateway&_sort=d&_docanchor=&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=e4f740afb14fa93
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Armando Fernandes and Susana Nascimento and D. Boutov, Automatic Identification of Oceanic Eddies in Infrared Satellite Images, Computers _amp_ Geosciences, Vol. 37, No. 11, Pag. 1783-1792, Elsevier, <i>doi:10.1016/j.cageo.2010.12.007</i>, (http://www.sciencedirect.com/science?_ob=ArticleURL_amp__udi=B6V7D-5236RBH-2_amp__user=10_amp__coverDate=02%2F02%2F2011_amp__rdoc=1_amp__fmt=high_amp__orig=gateway_amp__origin=gateway_amp__sort=d_amp__docanchor=_amp_view=c_amp__acct=C000050221_amp__version=1_amp__urlVersion=0_amp__userid=10_amp_md5=e4f740afb14fa93), November 2011.
<b><a href="/people/members/view.php?code=170d282cbf7852baf9139e8a4b20254b" class="author">Armando Fernandes</a>, <a href="/people/members/view.php?code=4d69262d034cb8174d039bea8d970836" class="author">Susana Nascimento</a> and D. Boutov</b>, <u>Automatic Identification of Oceanic Eddies in Infrared Satellite Images</u>, Computers _amp_ Geosciences, Vol. 37, No. 11, Pag. 1783-1792, <a href="http://www.elsevier.com/" title="Link to external entity..." target="_blank" class="publisher">Elsevier</a>, <i>doi:10.1016/j.cageo.2010.12.007</i>, (<a href="http://www.sciencedirect.com/science?_ob=ArticleURL_amp__udi=B6V7D-5236RBH-2_amp__user=10_amp__coverDate=02%2F02%2F2011_amp__rdoc=1_amp__fmt=high_amp__orig=gateway_amp__origin=gateway_amp__sort=d_amp__docanchor=_amp_view=c_amp__acct=C000050221_amp__version=1_amp__urlVersion=0_amp__userid=10_amp_md5=e4f740afb14fa93" target="_blank">url</a>), November 2011.
@article {FeNaBo11, author = {Armando Fernandes and Susana Nascimento and D. Boutov}, title = {Automatic Identification of Oceanic Eddies in Infrared Satellite Images}, journal = {Computers _amp_ Geosciences}, publisher = {Elsevier}, volume = {37}, number = {11}, pages = {1783-1792}, note = {doi:10.1016/j.cageo.2010.12.007}, url = {http://www.sciencedirect.com/science?_ob=ArticleURL_amp__udi=B6V7D-5236RBH-2_amp__user=10_amp__coverDate=02%2F02%2F2011_amp__rdoc=1_amp__fmt=high_amp__orig=gateway_amp__origin=gateway_amp__sort=d_amp__docanchor=_amp_view=c_amp__acct=C000050221_amp__version=1_amp__urlVersion=0_amp__userid=10_amp_md5=e4f740afb14fa93}, abstract = {Oceanic eddies have a large impact on climate and human activities, consequently, it is worthwhile to characterise them. One of their main features is size; however, it is a difficult task to obtain user-independent estimates of this feature from brightness temperature maps for eddies near the Iberian Peninsula. The reason is that the current methods in the scientific literature are unable to handle the variability in the shape and size of these eddies as well as the weak temperature gradients associated with them, especially those found off Iberia or those methods employ user-defined values that influence the estimate of the eddies’ size. Our new method solves these problems by using orientation fields and clustering methods. Its outcome is an ellipse that characterises the size of the eddies with good precision.}, keywords = {Infrared; Satellite images; Ocean; Eddies; Size}, month = {November}, year = {2011}, }
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